Financial Services
Australia
Discover how Decube helped save over $15K per week by improving data observability, governance, and operational efficiency.
Reduced MTTR in 9 months, saving ~$15K weekly in operational effort.
APRA Data Risk Management & Governance Requirements
The bank already had a legacy data governance tool in place, so this wasn't a greenfield problem, it was a consolidation one. That legacy tool covered basic cataloging, but its lineage was thin: it couldn't reliably trace data as it moved across ADLS, through ADF pipelines, ingested via Fivetran, transformed in Snowflake, and out to Power BI dashboards. Teams were maintaining workarounds alongside the tool rather than trusting it.
Beyond lineage, the team needed two things the legacy stack didn't provide at all: genuine data observability to catch issues before they reached a report, and a reconciliation capability to confirm that figures matched across systems rather than assuming they did. Stitching these on top of the existing tool with more point solutions would have meant even more integration overhead, not less.
The bank replaced the fragmented setup with Decube as a single, truly unified platform spanning ADLS, ADF, Fivetran, Snowflake, and Power BI, with ServiceNow integrated for incident workflows. The deciding factor was the combination the legacy tool couldn't offer: one platform that was genuinely unified across the stack, not just a shared front end, paired with observability and reconciliation features strong enough to trust in production.
Rollout connected each system to build reliable, end-to-end lineage, layered in observability to surface data issues proactively, added reconciliation checks across key pipelines, and wired incident detection through to ServiceNow so issues could be triaged and tracked using the team's existing ITSM workflow.
The bank now has dependable, end-to-end lineage across ADLS, ADF, Fivetran, Snowflake, and Power BI, backed by observability that flags issues before they surface downstream, something the legacy tool was never able to deliver.
Reconciliation checks now run as a standing part of the pipeline rather than a manual spot-check, giving the team confidence that figures match across systems instead of finding out after the fact.
With incidents flowing straight into ServiceNow alongside lineage and observability context, the team resolves issues without starting from scratch each time. Mean time to resolution dropped 72% over nine months.
Over nine months, MTTR is down 72%, and the bank is saving approximately USD 15,000 a week in man-hours that used to go into manual data discovery, glossary upkeep, and incident handling. The legacy tool's lineage gaps are gone, replaced by a single platform the team actually trusts for observability and reconciliation as well as cataloging.
“Our old tool reckoned it did lineage, but it was pretty ordinary, mate. Decube's the real deal, we've finally got the full picture end to end, and when something goes pear-shaped we sort it in no time flat instead of chasing our tails for days.”
— Head of Data Governance
Financial institutions in Australia are under growing pressure from APRA to demonstrate real data risk oversight, not just a catalog that looks the part. See how Decube's unified lineage, observability, and reconciliation layer can cut your MTTR and free up your team's time. Book a demo.
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